Model comparison

Magistral Medium vs Qwen3.5 35B-A3B

Qwen3.5 35B-A3B is the stronger model overall, scoring 42.0 to 35.2 on the Noometry Index.

Last verified . 19 shared benchmarks.

Magistral Medium Mistral AI

35.2

Rank #227 Confirmed

Qwen3.5 35B-A3B Alibaba (Qwen)

42.0

Rank #123 Confirmed

Summary

  • They share 19 benchmarks with published results for both. Magistral Medium scores higher in 1 category and Qwen3.5 35B-A3B in 7 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Qwen3.5 35B-A3B leads 24.6 to 8.6.
  • The biggest single-benchmark swing is SciCode: 39.2% for Magistral Medium and 29.3% for Qwen3.5 35B-A3B.
  • Qwen3.5 35B-A3B is cheaper at $0.25 / $2 per million input/output tokens, against $2 / $5 for Magistral Medium.

Side by side

Magistral Medium and Qwen3.5 35B-A3B specifications
Magistral MediumQwen3.5 35B-A3B
ProviderMistral AIAlibaba (Qwen)
Noometry Index35.242.0
Released2025-03-172026-02-01
WeightsOpenOpen
Context window262K262K
Max output16K66K
Input $ / M tokens$2$0.25
Output $ / M tokens$5$2
Results tracked2228

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Category by category

Coding Magistral Medium leads

Magistral Medium: 39.1 (#161), Qwen3.5 35B-A3B: 33.8 (#251)

Coding benchmarks
BenchmarkMagistral MediumQwen3.5 35B-A3B
SciCode39.2%29.3%
LMArena Coding13191410
LMArena WebDev—1254

Reasoning Qwen3.5 35B-A3B leads

Magistral Medium: 8.6 (#348), Qwen3.5 35B-A3B: 24.6 (#161)

Reasoning benchmarks
BenchmarkMagistral MediumQwen3.5 35B-A3B
CritPt0.3%0.6%
LMArena Hard Prompts12671400
ARC-AGI-20%—
Kagi LLM Benchmark16.2%—
ARC-AGI-16.1%—
Chess Puzzles—10%
DTBench—80%
LMCA—29.5%
Epoch Capabilities Index—142.52

Math Qwen3.5 35B-A3B leads

Magistral Medium: 35.1 (#189), Qwen3.5 35B-A3B: 39.9 (#97)

Math benchmarks
BenchmarkMagistral MediumQwen3.5 35B-A3B
LMArena Math12501404
MathArena Final-Answer Competitions—56%
OTIS Mock AIME 2024-2025—70%

Knowledge Qwen3.5 35B-A3B leads

Magistral Medium: 33.5 (#202), Qwen3.5 35B-A3B: 47.8 (#79)

Knowledge benchmarks
BenchmarkMagistral MediumQwen3.5 35B-A3B
LMArena Expert12231408
GPQA Diamond—83.5%
Vectara Hallucination Rate—10.5%

Multilingual Qwen3.5 35B-A3B leads

Magistral Medium: 39.6 (#224), Qwen3.5 35B-A3B: 50.0 (#127)

Multilingual benchmarks
BenchmarkMagistral MediumQwen3.5 35B-A3B
LMArena Non-English12321378
LMArena Chinese12271457
LMArena French12671412
LMArena German12481367
LMArena Japanese11751325
LMArena Korean11251356
LMArena Russian12241376
LMArena Spanish12711392

Instruction Following Qwen3.5 35B-A3B leads

Magistral Medium: 66.0 (#211), Qwen3.5 35B-A3B: 72.8 (#128)

Instruction Following benchmarks
BenchmarkMagistral MediumQwen3.5 35B-A3B
LMArena Instruction Following12541379

Long Context Qwen3.5 35B-A3B leads

Magistral Medium: 39.3 (#183), Qwen3.5 35B-A3B: 42.4 (#127)

Long Context benchmarks
BenchmarkMagistral MediumQwen3.5 35B-A3B
LMArena Longer Query12951389

Writing & Preference Qwen3.5 35B-A3B leads

Magistral Medium: 46.3 (#219), Qwen3.5 35B-A3B: 57.9 (#124)

Writing & Preference benchmarks
BenchmarkMagistral MediumQwen3.5 35B-A3B
LMArena Text12551395
LMArena Creative Writing12451346
LMArena Multi-Turn12751390

Frequently asked questions

Is Magistral Medium better than Qwen3.5 35B-A3B?

Qwen3.5 35B-A3B is the stronger model overall, scoring 42.0 to 35.2 on the Noometry Index.

Which is cheaper, Magistral Medium or Qwen3.5 35B-A3B?

Qwen3.5 35B-A3B is cheaper. It lists at $0.25 per million input tokens and $2 per million output tokens; Magistral Medium lists at $2 and $5.

Is Magistral Medium or Qwen3.5 35B-A3B better for coding?

Magistral Medium scores higher on coding benchmarks: 39.1 versus 33.8 in the Noometry coding category.

Which has the bigger context window?

Both accept 262K tokens.

How many benchmarks do Magistral Medium and Qwen3.5 35B-A3B share?

19 benchmarks have published results for both models. Magistral Medium has 22 scored results on Noometry and Qwen3.5 35B-A3B has 28.

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